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Remote Prompt Engineering Jobs in Tennessee (NOW HIRING)

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Remote Prompt Engineering information

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$15

$30

$43

How much do remote prompt engineering jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote prompt engineering in Tennessee is $30.00, according to ZipRecruiter salary data. Most workers in this role earn between $23.99 and $34.71 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote prompt engineering is a freelance or contract role that can generate significant income if you have strong skills in AI, natural language processing, and prompt design. Earning $2000 weekly typically requires multiple clients, high-quality work, and efficient time management, often involving project-based tasks or retainer agreements. Building a portfolio and gaining experience with tools like GPT models can help increase earning potential.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What are the key skills and qualifications needed to thrive as a Remote Prompt Engineer, and why are they important?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek to optimize AI language models for various applications. Demand for prompt engineers is increasing, especially for roles involving natural language processing, AI model tuning, and familiarity with tools like GPT and other large language models.

How to make $1000 a week remote?

Remote prompt engineering involves creating and refining prompts for AI models, and experienced professionals can earn around $20 to $50 per hour. To make $1000 weekly, one would need to work approximately 20 to 50 hours at this rate, often requiring strong language skills, familiarity with AI tools, and consistent project availability. Building a portfolio and gaining certifications can help increase earning potential in this field.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.
What are the most commonly searched types of Prompt Engineering jobs in Tennessee? The most popular types of Prompt Engineering jobs in Tennessee are:
What job categories do people searching Remote Prompt Engineering jobs in Tennessee look for? The top searched job categories for Remote Prompt Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Prompt Engineering jobs? Cities in Tennessee with the most Remote Prompt Engineering job openings:
Talent Sourcing Strategy Lead (Remote Eligible)

Talent Sourcing Strategy Lead (Remote Eligible)

Oak Ridge National Laboratory

Oak Ridge, TN • Remote

$147K - $186K/yr

Full-time

Posted yesterday


Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories


Job description

Requisition Id 16659 

Annual Salary Range: $147,560.00 - $186,050.00 

Work-Site Type: Remote 

ORNL offers a flexible work environment that supports both the organization and the employee.  In addition, this position is considered remote-eligible for ORNL in pre-approved locations.  Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs.

Note about pay range:

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US

Position Type:

This is a full-time temporary appointment for up to 36 months. Initial appointments and extensions are subject to performance and availability of funding.

Overview:

The Talent Sourcing Strategy Lead serves as ORNL’s lead expert in advanced sourcing strategy and innovation within the Talent Acquisition (TA) division. This position is responsible for developing and managing enterprise-level sourcing solutions that leverage artificial intelligence (AI), data analytics, and workforce planning to identify and engage top talent across scientific, technical, and operational disciplines.

Working with considerable latitude, this position partners closely with senior leadership across the HR Directorate to ensure that sourcing and recruiting strategies are fully integrated and aligned with ORNL’s mission and business needs.

As both a strategic consultant and a technical practitioner, this individual also serves as the division’s lead prompt engineer, developing and optimizing AI-driven sourcing workflows that enhance recruiter effectiveness, market intelligence, and proactive pipeline development.

Major Duties and Responsibilities:

  • Architect and govern enterprise sourcing and AI enabled workflows that support candidate identification, market intelligence, pipeline optimization, and long-range workforce planning for ORNL’s most complex and security sensitive roles.
  • Serve as ORNL’s lead sourcing strategist and talent‑intelligence consultant, advising HR leadership, directorates, and senior management on labor‑market trends, workforce forecasting, and competitive hiring strategies.
  • Lead design, implementation, and continuous improvement of AI systems, including prompt engineering, automation frameworks, and ethical‑AI governance (bias audits, privacy controls, tool‑vetting records).
  • Steward the enterprise CRM and sourcing technology ecosystem, overseeing workflow governance, platform enhancements, data integrity standards, and integration across TA systems (CRM, SuccessFactors, talent intelligence tools).
  • Own the Sourcing Innovation Roadmap, coordinating strategic advancement of AI capabilities, CRM functionality, market‑mapping tools, and sourcing automation aligned to the TA Five‑Year Strategy.
  • Build proactive, data‑driven talent pipelines through CRM‑enabled communities, long‑cycle candidate engagement, competitor mapping, skills‑emergence tracking, and predictive analytics for succession‑critical roles.
  • Develop and govern sourcing methodologies, standards, playbooks, and reusable assets to ensure consistency, auditability, and operational efficiency across the TA division.
  • Design and deliver advanced training programs including AI prompt development, labor‑market research, and data‑driven recruiting; mentor TA professionals to elevate sourcing capability and ethical AI use.
  • Create executive dashboards and analytics frameworks that connect sourcing inputs to business outcomes, define performance indicators, and deliver actionable insights to senior HR and laboratory leadership.
  • Represent ORNL in industry forums and DOE peer networks, monitoring emerging AI and sourcing innovations, benchmarking practices, and strengthening the laboratory’s employer brand and competitive position.

Basic Qualifications:

  • BS/BA degree and a minimum of 12 years of progressive experience in talent sourcing strategy, recruiting operations, workforce analytics, or HR technology implementation.
  • Demonstrated success leading enterprise-scale sourcing initiatives with measurable organizational impact.
  • Experience consulting with senior leadership on talent strategy and workforce planning.
  • Experience in federal, research, or national laboratory environment.

Preferred Qualifications: 

  • Minimum of 20 years of experience spanning talent acquisition leadership, sourcing methodology development, and HR technology innovation.
  • Experience recruiting for positions requiring security clearances, with understanding of cleared-talent market dynamics and candidate sensitivities.
  • Recognized expertise in advanced sourcing techniques including Boolean logic, X-ray search, and competitive intelligence gathering.
  • Demonstrated proficiency in generative AI platforms (ChatGPT, Claude, Gemini, Copilot) with practical application to recruiting workflows, plus the use of advanced automation tools.
  • Track record of building sourcing functions, training teams, and establishing organizational best practices.
  • Experience with CRM implementation and talent community development.
  • Strong consultative and communication skills with a proven ability to influence executive decision making.
  • Familiarity with security clearance processes and cleared-talent markets are advantageous.

Special Requirement:

This is a temporary 36-month position. The appointment length will be up to 36 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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